Which highway safety factors have the strongest association with injury?

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By Dane Grand Maison, Tony Huang, Zeyue Niu, Olivia Esterlis, Ora Suslovich, Yoel Zuman, William Torres, Tim Vosicky, Jill Rosenblum, Liz Young, Kayla Spitzner | 09 April 2019

Recently, Milliman challenged its actuaries and data scientists to use the National Highway Traffic Safety Administration’s publicly available database on crash data to model which highway safety factors have the strongest association to crashes that involve one or multiple injuries. Participants, including some from Eckler, Milliman’s associate firm in Canada, used the company’s internal predictive analytics software, SOLYS™, to create four detailed reports, each containing quite different – but valuable – findings.

Predictors of automobile accident injuries with SOLYS, a collaborative analytics platform

By Gene Dan, Olivia Esterlis, Tony Huang, Ora Suslovich, Cindy Yang and Yoel Zuman

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